Job Description Summary

The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has
no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and
every difference builds a healthier world.

Job Description

GE HealthCare is accelerating its transformation through strategic Big Bets in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, delivers enterprise-grade AI and ML solutions that drive measurable impact. As a Sr. Data Scientist (LPB2), you will contribute to designing and implementing advanced models, collaborating across functions to solve complex business challenges and deliver scalable solutions.

Core Responsibilities

• Model Development & Delivery: Design, build, and deploy AI/ML models to address business challenges in commercial operations, supply chain, manufacturing, and related domains.

• Independent Project Execution: Lead projects and/or significant components of larger initiatives, ensuring timely and high-quality delivery.

• Cross-Functional Collaboration: Partner with data engineering, ML engineering, analytics, GenAI, and business stakeholders to deliver integrated solutions.

• Technical Excellence: Apply best practices in data preparation, feature engineering, model selection, validation, and deployment. Contribute to code reviews and documentation.

• Continuous Improvement: Stay current with advancements in ML, GenAI, and analytics. Identify opportunities to enhance models and processes.

• Business Impact: Translate technical outputs into actionable insights for business partners, supporting decision-making and measurable outcomes.

Experience Requirements

• Experience: 1+ years of direct AI/ML experience with demonstrated success building and deploying enterprise-grade solutions at scale.

• Relevant Expertise: Proven ability to apply advanced analytics and machine learning to solve real-world problems.

• Education: Masters/PhD in Computer Science, AI, Data Science, Applied Mathematics, or related field.

• Technical Skills: Proficiency in ML algorithms, GenAI frameworks, and data engineering. Experience with Python, AWS, Azure, and open-source tools (R, SQL, Spark, TensorFlow, Keras, PyTorch, Scikit-learn).

• MLOps & Engineering: Demonstrated ability to deploy, monitor, and maintain ML and GenAI models in production environments.

• Industry Knowledge: Understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance.

• Communication: Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives.

• Interpersonal Skills: Proven success working in cross-functional, hybrid, and virtual teams.

• Ethics & Integrity: Commitment to ethical data science practices.

• Travel: Willingness to travel for business meetings as needed.

Inclusion and Diversity :

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

#L1-Hybrid

Additional Information